add results folder

gradio_demo/barc_demo_v3.py

@@ -3,11 +3,11 @@
 import os
 os.environ["CUDA_DEVICE_ORDER"]="PCI_BUS_ID"  
 os.environ["CUDA_VISIBLE_DEVICES"]="0"
-try:
+'''try:
     # os.system("pip install --upgrade  torch==1.11.0+cu113 torchvision==0.12.0+cu113 -f https://download.pytorch.org/whl/cu113/torch_stable.html")
     os.system("pip install --upgrade  torch==1.6.0+cu101 torchvision==0.7.0+cu101 -f https://download.pytorch.org/whl/cu101/torch_stable.html")
 except Exception as e:
-    print(e)
+    print(e)'''
 
 import numpy as np
 import os
@@ -109,7 +109,7 @@ def detect_object(model, img_path_or_img, confidence=0.5, rect_th=2, text_size=0
 def run_bbox_inference(input_image):
     # load configs
     cfg = get_cfg_global_updated()
-    
+
     model = torchvision.models.detection.fasterrcnn_resnet50_fpn(pretrained=True)
     model.eval()
     out_path = os.path.join(cfg.paths.ROOT_OUT_PATH, 'gradio_examples', 'test2.png')